University of Illinois at Urbana-Champaign
On-Line Monitoring, Control, and Reliability of Structural Dynamical Systems
Abstract
dc:description"Ideas for improving the efficiency of Monte Carlo simulation (MCS) is the subject of the final section. Determining the low failure probabilities of typical engineering systems is quite difficult without using millions of MCS realizations to characterize the probability distribution. Several links between some MCS variance reduction techniques and Genetic Algorithms are discussed. A simple example, incorporating Genetic Algorithm operators into MCS, is shown to estimate probabilities a couple orders of magnitude smaller than standard MCS. Several concepts for characterizing the sense of a realization's ""importance"", such as discrepancy sensitivity and phase space velocity, are examined and found to successfully quantify realization importance."
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Aerospace Engineering
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2015
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Johnson, Erik Arthur
- Contributors dc:contributor
-
- Bergman, Lawrence A.
- Voulgaris, Petros G.
Subjects
dc:subject × 1Rights
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
- (MiAaPQ)AAI9812643
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/85125